Trustworthy in silico cell labeling via ensemble-based image translation-Reference-Cited by-同舟云学术

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Trustworthy in silico cell labeling via ensemble-based image translation

Published:2023-12 Issue:4 Volume:3 Page:100133
ISSN:2667-0747
Container-title:Biophysical Reports
language:en
Short-container-title:Biophysical Reports

Author:

Imboden Sara,Liu Xuanqing,Payne Marie C.,Hsieh Cho-Jui,Lin Neil Y.C.^ORCID

Funder

University of California Los Angeles

California NanoSystems Institute

National Science Foundation

National Institute of General Medical Sciences

Publisher

Elsevier BV

Subject

Biotechnology,Biophysics,Biochemistry,Biochemistry, Genetics and Molecular Biology (miscellaneous)

Reference68 articles.

1. Introduction to Machine Learning, Neural Networks, and Deep Learning;Choi;Transl. Vis. Sci. Technol.,2020

2. In silico labeling: predicting fluorescent labels in unlabeled images;Christiansen;Cell,2018

3. Label-free prediction of three-dimensional fluorescence images from transmitted-light microscopy;Ounkomol;Nat. Methods,2018

4. Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning;Rivenson;Nat. Biomed. Eng.,2019

5. Deep learning enables cross-modality super-resolution in fluorescence microscopy;Wang;Nat. Methods,2019

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Trustworthy AI Guidelines in Biomedical Decision-Making Applications: A Scoping Review;Big Data and Cognitive Computing;2024-07-01

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